We’re in the classic move from “customer discovery” to “customer validation” phase à la Lean Startup philosophy. I’m a strong advocate for this approach to the startup journey as I think it’s archetypal in terms of maturity curves. We’re excited about the customers we have and their enthusiasm for what we’re doing and want to add more in 2022.

Trapped data has always been the bane of the back office, and the reason so much manual processing remains in the middle- and back-office roles. “For DeepSee, unlocking that data is the key to success as firms look to accelerate their move towards full-scale digital transformation”.

Steven Shillingford is President and CEO of DeepSee.ai, a Knowledge Process Automation (KPA) platform to mine unstructured data, operationalize AI-powered insights, and automate results into real-time action for the enterprise. He is the creator of the Knowledge Process Automation industry category, delivering AI-powered automation and productivity via easy to deploy, cloud-based business flows for critical business operations in the Capital Markets and Insurance verticals.

Steve Shillingford, President and CEO of DeepSee AI, wanted his customers to feel satisfied after working with an AI company, not have more questions. DeepSee AI uses a platform to mine unstructured data and offer information to customers in a way that is fast and easy to understand

On the other side of research are real-world applications. Low-code/no-code tools are helping non-developers create applications and data pipelines. Robotic process automation streamlines workflows and makes business operations more efficient. Intelligent software and services help solve real-world problems.

DeepSee.ai, a startup that helps enterprises use AI to automate line-of-business problems, today announced that it has raised a $22.6 million Series A funding round led by led by ForgePoint Capital.

Salt Lake City, Utah-based DeepSee, which was founded in 2019, leverages open source and proprietary machine learning, linguistic comparison and prediction techniques, and sentiment analysis to automate manual business processes.